We performed a comparison between BigPanda and Dynatrace based on real PeerSpot user reviews.
Find out in this report how the two AIOps solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The best of a bad lot was the error message deduping."
"We have also made extensive use of the outbound integrations to ticketing systems (JIRA) and collaboration tools (Slack). The main driver for us has been getting all alerting into a single UI and enabling us to streamline our incident management process."
"The event correlation is really good and it is able to reduce the noise. It is a good tool for anomaly detection."
"The program is very stable."
"BigPanda integrates well with other solutions, such as WatchGuard,"
"The most useful feature has been the AI/ML. The way BigPanda uses the AI/ML is good compared to other SRE tools."
"A user-friendly solution."
"One of the most valuable features of BigPanda is its user-friendly interface."
"This tool has been essential for monitoring our systems, gathering all performance data, and helping to quickly resolve difficult problems affecting our customers ability to process their work through our systems."
"We monitor end-to-end availability of the application and deep dive PurePath analysis of real user visits."
"It gives you a great level of detail into whatever the issue is: Using troubleshooting and getting to the root cause."
"With the latest version, the AI engine highlights the root causes automatically."
"Service engineers save a lot of time because they can just go in look at the data and share it with the customer, who has the same view, and say, "Here's an improvement which can be immediately implemented." It's not like a collection of big, multiple findings that are consolidated into one results presentation, then the customer needs to do something. It's more like a continuous performance analysis and improvement process, which is more efficient than those workshops approaches. That's one of the biggest of the advantages that our services team sees because it helps DevOps to focus on continuous delivery and shift quality issues to pre-production."
"The most valuable features for me are the dashboard panels because they enable you to monitor multiple applications in one single site."
"Support from Dynatrace is excellent. They are always on hand for any queries, demos, and/or issues."
"We know exactly which line, which method, and which program needs fixing, so we directly go to the right developer and the guy comes in fixes it."
"BigPanda attempts a little of everything and fails at most."
"Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline."
"Analytics is an area for improvement, being able to break down the actions that are being taken by users of BigPanda, as well as the auto-magical work that is being done by BigPanda."
"BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage."
"The UI for this solution could be improved. It is very hard to find what you are looking for."
"The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved."
"BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity."
"The cost of this product is too high compared to New Relic."
"The dashboarding in Dynatrace is not very good. We have used other monitoring tools like AppDynamics. We are also using AppDynamics for some of our products. If I compare Dynatrace with those monitoring tools, the dashboarding is not as good. If I have to create a dashboard it takes me time, the experience is not that good."
"The integration of the tools is getting there. It is still not there yet, because we still have to get a lot of tools to put together."
"If the user interface were made more intuitive then it would really benefit the product."
"We ran into a problem where the Dynatrace JavaScript agent is returning errors, and it's very apparent that there's a problem. However, the customer support will ask us for seemingly unnecessary details instead of looking at our dashboard through their account to see what the problem is. They ask us for a lot of details not really related to solving the problem. As a result, we still have a few issues that were never resolved. They're not major issues, but they're kind of frustrating."
"They should provide a guide to arrive at the solution for non-super experts."
"It would help if Dynatrace allowed more features that work with metrics like Grafana or New Relic."
"We are waiting on the new features to see how they perform."
"They could also, develop an observability platform where you could have the ability to inject events, locks, and traces."
BigPanda is ranked 13th in AIOps with 12 reviews while Dynatrace is ranked 2nd in AIOps with 340 reviews. BigPanda is rated 7.2, while Dynatrace is rated 8.8. The top reviewer of BigPanda writes "Offers comprehensive alert monitoring and a user-friendly interface but requires manual validation to provide accurate alerts". On the other hand, the top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". BigPanda is most compared with ServiceNow, Moogsoft, IBM Tivoli NetCool OMNIbus, PagerDuty Operations Cloud and SolarWinds NPM, whereas Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Azure Monitor. See our BigPanda vs. Dynatrace report.
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There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitoring. We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace. Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future. We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation. We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing. Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools.
I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions. You will need additional monitoring products to capture data and feed them. Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment.
Here's a quick pro/con list on Dynatrace & New Relic from our analysis.
New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product.
New Relic Cons: Requires lots of manual configurations to implement and support. Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this.
Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful. High integration of infra and APM data for full-stack observability and engineering. Topology and trace discovery is more reliable than other products or our CMDB. Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting. AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project.
Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis. Host, process, and service data is not available to query within the product. Alarm processing lacks some granular controls. The Plug-in library is less robust.
Good luck with your decision!
We are currently going through a paper-based analysis to select an Enterprise APM solution.
Our Contenders are
1. Dynatrace
2. Cisco(AppDynamics)
3. Broadcom DX-APM
Shortlisted based on existing relationships with other products and services they provide.
We discounted New Relic- despite their growing capability - as they are yet to enter the enterprise APM solution scene.
With regards to your response "We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing .." :
Will you be willing to expand on Appd - what was your experience and issues w.r.t licensing. These could help us with our evaluation. Much appreciated. Regards Adrian
Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.
Thanks